Radhika's repositories
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
bert-toxic-comments-multilabel
Multilabel classification for Toxic comments challenge using Bert
Credit-Rating-Prediction
Builds models to predict the credit ratings of companies as part of the S&P Data Challenge
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Data-Science--Cheat-Sheet
Cheat Sheets
emotion-label-semantics
This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions
GHC-Scholarships
Comprehensive list of scholarships for the Grace Hopper Conference
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Multi-Hop-Knowledge-Paths-Human-Needs
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
Multi-Label-Text-Classification
Kaggle Toxic Comments Challenge
Multi-Label-Text-classification-Using-BERT
Multi Label text classification using bert
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
packing-unpacking-pytorch-minimal-tutorial
Minimal tutorial on packing and unpacking sequences in pytorch
Practical_NLP_in_PyTorch
A repository containing tutorials for practical NLP using PyTorch
Probabilistic-RNN-DA-Classifier
Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use
PyTorch-Elmo-BiLSTMCRF
PyTorch BiLSTMCRF w Elmo
pytorch-examples
Simple examples to introduce PyTorch
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
scs-baselines
Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi